Keyes, CA
Keyes, CA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Keyes lands at the 83rd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 2,011 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Keyes's burn probability — fire likelihood with no building count factored in — sits at the 84th percentile nationally.
Where Keyes's buildings actually sit
Most of Keyes's buildings (89.6% of 2,011) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Keyes against the rest of the country
Inside California, Keyes sits at just the 45th percentile even though it scores 83rd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Keyes ranks 5,287 for wildfire risk (1 is highest) and 7,446 by building count (1 is largest). Within California alone, it ranks 858 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Keyes
Because Keyes is in California, a wildfire-hazard disclosure is legally required before a sale closes here — unusual nationally, since only these two states mandate it. The state's FAIR Plan alone carried 668,609 policies by the end of 2025. Full detail in the disclosure-law guide.
Hardening a home in Keyes
With 89.6% of buildings rated Minimal exposure, Keyes gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Keyes's figures come from
The methodology guide shows exactly how USFS turned 2,011 counted buildings into the percentiles shown above for Keyes. The exposure-zones guide covers what Keyes's dominant minimal exposure actually means, with real examples from across the dataset.